MGeo
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MGeo: Multi-Modal Geographic Language Model Pre-Training
A classification model has been developed using MGeo: Foundation Model: mgeo_backbone_chinese_base Number of Classes: 270,000 Trained Model Size: about 1.2 GB GPU Employed: A800 Inference Performance: the response time for...
I found one code mistake in prepare_data/calculate_geographic_context.py  The highlighted part should be ly2, instead of ly1.
# Add Comprehensive Python Testing Infrastructure ## Summary This PR establishes a complete testing infrastructure for the geo-multimodal-retrieval project using Poetry as the package manager. The infrastructure provides a robust...
Hello! I am studying your paper "MGeo:" published in 2023. When conducting "Multi-Modal Geographic Language Model Pre-Training", there are some questions regarding the specific technical details of the geographic context...